forked from mindspore-Ecosystem/mindspore
783 lines
22 KiB
Python
783 lines
22 KiB
Python
# Copyright 2022 Huawei Technologies Co., Ltd
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ============================================================================
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""" test graph raise """
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import pytest
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import numpy as np
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import mindspore.nn as nn
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from mindspore import Tensor, context
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import mindspore.common.dtype as mstype
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from mindspore.common.api import _cell_graph_executor
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context.set_context(mode=context.GRAPH_MODE)
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@pytest.mark.level0
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@pytest.mark.platform_x86_gpu_training
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@pytest.mark.platform_arm_ascend_training
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@pytest.mark.platform_x86_ascend_training
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@pytest.mark.env_onecard
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def test_raise_1():
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"""
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Feature: graph raise.
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Description: Test raise.
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Expectation: No exception.
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"""
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class RaiseNet(nn.Cell):
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def construct(self, x):
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if x == 1:
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raise ValueError()
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return x
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with pytest.raises(ValueError, match=""):
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net = RaiseNet()
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res = net(1)
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print("res:", res)
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@pytest.mark.level0
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@pytest.mark.platform_x86_gpu_training
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@pytest.mark.platform_arm_ascend_training
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@pytest.mark.platform_x86_ascend_training
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@pytest.mark.env_onecard
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def test_raise_2():
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"""
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Feature: graph raise.
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Description: Test raise.
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Expectation: No exception.
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"""
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class RaiseNet(nn.Cell):
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def construct(self, x):
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if x == 1:
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raise ValueError(1)
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return x
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with pytest.raises(ValueError, match="1"):
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net = RaiseNet()
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res = net(1)
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print("res:", res)
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@pytest.mark.level0
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@pytest.mark.platform_x86_gpu_training
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@pytest.mark.platform_arm_ascend_training
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@pytest.mark.platform_x86_ascend_training
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@pytest.mark.env_onecard
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def test_raise_3():
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"""
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Feature: graph raise.
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Description: Test raise.
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Expectation: No exception.
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"""
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class RaiseNet(nn.Cell):
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def construct(self, x):
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if x == 1:
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raise ValueError(f"The input should not be 1.")
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return x
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with pytest.raises(ValueError, match="The input should not be 1."):
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net = RaiseNet()
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res = net(1)
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print("res:", res)
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@pytest.mark.level0
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@pytest.mark.platform_x86_gpu_training
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@pytest.mark.platform_arm_ascend_training
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@pytest.mark.platform_x86_ascend_training
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@pytest.mark.env_onecard
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def test_raise_4():
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"""
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Feature: graph raise.
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Description: Test raise.
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Expectation: No exception.
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"""
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class RaiseNet(nn.Cell):
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def construct(self, x):
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if x == 1:
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raise ValueError(f"The input should not be 1.")
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return x
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with pytest.raises(RuntimeError, match="Currently only supports raise in constant scenarios."):
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net = RaiseNet()
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x = Tensor(9, mstype.int32)
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res = net(x)
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assert res == 9
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@pytest.mark.level0
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@pytest.mark.platform_x86_gpu_training
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@pytest.mark.platform_arm_ascend_training
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@pytest.mark.platform_x86_ascend_training
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@pytest.mark.env_onecard
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def test_raise_5():
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"""
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Feature: graph raise.
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Description: Test raise.
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Expectation: No exception.
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"""
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class NetWithRaise(nn.Cell):
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def construct(self, x):
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raise ValueError(f"exception in construct.")
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with pytest.raises(ValueError, match="exception in construct."):
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net = NetWithRaise()
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inp = Tensor(np.ones([1, 1, 32, 32]).astype(np.float32))
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_cell_graph_executor.compile(net, inp)
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@pytest.mark.level0
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@pytest.mark.platform_x86_gpu_training
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@pytest.mark.platform_arm_ascend_training
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@pytest.mark.platform_x86_ascend_training
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@pytest.mark.env_onecard
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def test_raise_6():
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"""
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Feature: graph raise.
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Description: Test raise.
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Expectation: No exception.
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"""
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class NetWithRaise(nn.Cell):
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def subfunc(self):
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raise ValueError(f"exception in subfunc.")
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def construct(self, x):
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y = Tensor(0)
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if x > 0:
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y = Tensor(1)
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elif x == 1:
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y = Tensor(2)
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else:
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self.subfunc()
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return y
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with pytest.raises(ValueError, match="exception in subfunc."):
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net = NetWithRaise()
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x = -1
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res = net(x)
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print("res:", res)
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@pytest.mark.level0
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@pytest.mark.platform_x86_gpu_training
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@pytest.mark.platform_arm_ascend_training
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@pytest.mark.platform_x86_ascend_training
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@pytest.mark.env_onecard
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def test_raise_7():
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"""
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Feature: graph raise.
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Description: Test raise.
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Expectation: No exception.
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"""
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class RaiseNet(nn.Cell):
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def construct(self):
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x = [1, 3, 5, 7, 9]
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raise ValueError("Not expected value, x is {}".format(x))
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with pytest.raises(ValueError) as raise_info_7:
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net = RaiseNet()
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res = net()
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print("res:", res)
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assert "Not expected value, x is [1, 3, 5, 7, 9]" in str(raise_info_7.value)
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@pytest.mark.level0
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@pytest.mark.platform_x86_gpu_training
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@pytest.mark.platform_arm_ascend_training
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@pytest.mark.platform_x86_ascend_training
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@pytest.mark.env_onecard
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def test_raise_8():
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"""
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Feature: graph raise.
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Description: Test raise.
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Expectation: No exception.
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"""
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class RaiseNet(nn.Cell):
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def __init__(self):
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super(RaiseNet, self).__init__()
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self.x = [1, 3, 5, 7]
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def construct(self):
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if self.x == [1, 3, 5, 7, 9]:
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return 5
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if self.x == [1, 3, 5]:
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return 3
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raise ValueError("Not expected value, x is {}".format(self.x))
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with pytest.raises(ValueError) as raise_info_8:
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net = RaiseNet()
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res = net()
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print("res:", res)
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assert "Not expected value, x is [1, 3, 5, 7]" in str(raise_info_8.value)
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@pytest.mark.level0
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@pytest.mark.platform_x86_gpu_training
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@pytest.mark.platform_arm_ascend_training
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@pytest.mark.platform_x86_ascend_training
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@pytest.mark.env_onecard
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def test_raise_9():
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"""
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Feature: graph raise.
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Description: Test raise.
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Expectation: No exception.
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"""
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class RaiseNet(nn.Cell):
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def construct(self):
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x = 11
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raise ValueError(f"The input can not be {x}.")
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with pytest.raises(ValueError) as raise_info_9:
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net = RaiseNet()
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res = net()
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print("res:", res)
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assert "The input can not be 11." in str(raise_info_9.value)
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@pytest.mark.level0
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@pytest.mark.platform_x86_gpu_training
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@pytest.mark.platform_arm_ascend_training
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@pytest.mark.platform_x86_ascend_training
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@pytest.mark.env_onecard
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def test_raise_10():
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"""
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Feature: graph raise by JIT Fallback.
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Description: Test raise(string % var).
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Expectation: No exception.
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"""
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class RaiseNet(nn.Cell):
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def construct(self, x):
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raise ValueError(f"The input can not be %s." % x)
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with pytest.raises(ValueError) as raise_info_10:
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net = RaiseNet()
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res = net(11)
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print("res:", res)
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assert "The input can not be 11." in str(raise_info_10.value)
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@pytest.mark.level0
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@pytest.mark.platform_x86_gpu_training
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@pytest.mark.platform_arm_ascend_training
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@pytest.mark.platform_x86_ascend_training
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@pytest.mark.env_onecard
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def test_raise_11():
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"""
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Feature: graph raise.
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Description: Test raise.
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Expectation: No exception.
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"""
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class RaiseNet(nn.Cell):
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def construct(self, x):
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raise ValueError(f"The input can not be ", x, ".")
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with pytest.raises(ValueError) as raise_info_11:
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net = RaiseNet()
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res = net(11)
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print("res:", res)
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assert "('The input can not be ', 11, '.')" in str(raise_info_11.value)
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@pytest.mark.level0
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@pytest.mark.platform_x86_gpu_training
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@pytest.mark.platform_arm_ascend_training
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@pytest.mark.platform_x86_ascend_training
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@pytest.mark.env_onecard
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def test_raise_12():
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"""
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Feature: graph raise by JIT Fallback.
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Description: Test raise(string % var).
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Expectation: No exception.
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"""
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class RaiseNet(nn.Cell):
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def construct(self):
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x = 1
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if x == 1:
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raise ValueError("The var name is %s, it can not be %d." % ("x", x))
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return x
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with pytest.raises(ValueError) as raise_info_12:
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net = RaiseNet()
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res = net()
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print("res:", res)
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assert "The var name is x, it can not be 1." in str(raise_info_12.value)
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@pytest.mark.level0
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@pytest.mark.platform_x86_gpu_training
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@pytest.mark.platform_arm_ascend_training
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@pytest.mark.platform_x86_ascend_training
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@pytest.mark.env_onecard
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def test_raise_13():
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"""
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Feature: graph raise by JIT Fallback.
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Description: Test raise(string % var).
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Expectation: No exception.
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"""
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class RaiseNet(nn.Cell):
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def construct(self):
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x = Tensor(1)
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if x == 1:
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raise ValueError("The input should not be Tensor(1).")
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return x
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with pytest.raises(ValueError) as raise_info_13:
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net = RaiseNet()
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res = net()
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print("res:", res)
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assert "The input should not be Tensor(1)." in str(raise_info_13.value)
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@pytest.mark.level0
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@pytest.mark.platform_x86_gpu_training
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@pytest.mark.platform_arm_ascend_training
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@pytest.mark.platform_x86_ascend_training
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@pytest.mark.env_onecard
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def test_raise_14():
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"""
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Feature: graph raise by JIT Fallback.
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Description: Test raise.
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Expectation: No exception.
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"""
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class RaiseNet(nn.Cell):
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def construct(self):
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x = Tensor(1)
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if x == 1:
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raise UserWarning("The input should not be Tensor(1).")
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return x
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with pytest.raises(RuntimeError) as raise_info_14:
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net = RaiseNet()
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res = net()
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print("res:", res)
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assert "Unsupported exception type: UserWarning." in str(raise_info_14.value)
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@pytest.mark.level0
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@pytest.mark.platform_x86_gpu_training
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@pytest.mark.platform_arm_ascend_training
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@pytest.mark.platform_x86_ascend_training
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@pytest.mark.env_onecard
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def test_raise_15():
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"""
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Feature: graph raise by JIT Fallback.
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Description: Test raise.
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Expectation: No exception.
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"""
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class RaiseNet(nn.Cell):
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def construct(self):
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x = 5
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y = [1, 2, 3, 4]
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if x > len(y):
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raise IndexError("The list index out of range.")
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return y[x]
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with pytest.raises(IndexError) as raise_info_15:
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net = RaiseNet()
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res = net()
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print("res:", res)
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assert "The list index out of range." in str(raise_info_15.value)
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@pytest.mark.level0
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@pytest.mark.platform_x86_gpu_training
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@pytest.mark.platform_arm_ascend_training
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@pytest.mark.platform_x86_ascend_training
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@pytest.mark.env_onecard
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def test_raise_16():
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"""
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Feature: graph raise by JIT Fallback.
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Description: Test raise.
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Expectation: No exception.
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"""
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class RaiseNet(nn.Cell):
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def construct(self):
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x = [1, 2, 3, 4]
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if isinstance(x, list):
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raise TypeError("The input should not be list.")
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return x
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with pytest.raises(TypeError) as raise_info_16:
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net = RaiseNet()
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res = net()
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print("res:", res)
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assert "The input should not be list." in str(raise_info_16.value)
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@pytest.mark.level0
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@pytest.mark.platform_x86_gpu_training
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@pytest.mark.platform_arm_ascend_training
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@pytest.mark.platform_x86_ascend_training
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@pytest.mark.env_onecard
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def test_raise_17():
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"""
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Feature: graph raise by JIT Fallback.
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Description: Test raise.
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Expectation: No exception.
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"""
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class RaiseNet(nn.Cell):
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def construct(self):
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name = "name_a"
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if name == "name_a":
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raise NameError("The name should not be name_a.")
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return self.param_a
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with pytest.raises(NameError) as raise_info_17:
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net = RaiseNet()
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res = net()
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print("res:", res)
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assert "The name should not be name_a." in str(raise_info_17.value)
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@pytest.mark.level0
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@pytest.mark.platform_x86_gpu_training
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@pytest.mark.platform_arm_ascend_training
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@pytest.mark.platform_x86_ascend_training
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@pytest.mark.env_onecard
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def test_raise_18():
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"""
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Feature: graph raise by JIT Fallback.
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Description: Test raise.
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Expectation: No exception.
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"""
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class RaiseNet(nn.Cell):
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def __init__(self):
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super(RaiseNet, self).__init__()
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self.input = Tensor(1)
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def construct(self):
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if self.input == 1:
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raise AssertionError("The input should not be 1.")
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return self.param_a
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with pytest.raises(AssertionError) as raise_info_18:
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net = RaiseNet()
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res = net()
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print("res:", res)
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assert "The input should not be 1." in str(raise_info_18.value)
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@pytest.mark.level0
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@pytest.mark.platform_x86_gpu_training
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@pytest.mark.platform_arm_ascend_training
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@pytest.mark.platform_x86_ascend_training
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@pytest.mark.env_onecard
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def test_raise_19():
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"""
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Feature: graph raise.
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Description: Test raise.
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Expectation: No exception.
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"""
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class RaiseNet(nn.Cell):
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def construct(self, x):
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if x == 1:
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raise NotSupportError(f"The input should not be 1.")
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return x
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with pytest.raises(RuntimeError, match="Unsupported exception type: NotSupportError."):
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net = RaiseNet()
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res = net(1)
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print("res:", res)
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@pytest.mark.level0
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@pytest.mark.platform_x86_gpu_training
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@pytest.mark.platform_arm_ascend_training
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@pytest.mark.platform_x86_ascend_training
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@pytest.mark.env_onecard
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def test_raise_20():
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"""
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Feature: graph raise.
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Description: Test raise.
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Expectation: No exception.
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"""
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class RaiseNet(nn.Cell):
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def construct(self, x):
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if x == 1:
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raise RuntimeWarning(f"The input should not be 1.")
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return x
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with pytest.raises(RuntimeWarning, match="The input should not be 1."):
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net = RaiseNet()
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res = net(1)
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print("res:", res)
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@pytest.mark.level0
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@pytest.mark.platform_x86_gpu_training
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@pytest.mark.platform_arm_ascend_training
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@pytest.mark.platform_x86_ascend_training
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@pytest.mark.env_onecard
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def test_raise_21():
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"""
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Feature: graph raise.
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Description: Test raise.
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Expectation: No exception.
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"""
|
|
class RaiseNet(nn.Cell):
|
|
def construct(self, x):
|
|
if x == 1:
|
|
raise ImportError(f"The input should not be 1.")
|
|
return x
|
|
|
|
with pytest.raises(RuntimeError, match="Unsupported exception type: ImportError."):
|
|
net = RaiseNet()
|
|
res = net(1)
|
|
print("res:", res)
|
|
|
|
|
|
@pytest.mark.level0
|
|
@pytest.mark.platform_x86_gpu_training
|
|
@pytest.mark.platform_arm_ascend_training
|
|
@pytest.mark.platform_x86_ascend_training
|
|
@pytest.mark.env_onecard
|
|
def test_raise_tensor_1():
|
|
"""
|
|
Feature: graph raise by JIT Fallback.
|
|
Description: Test raise.
|
|
Expectation: No exception.
|
|
"""
|
|
class RaiseNet(nn.Cell):
|
|
def construct(self):
|
|
x = Tensor([1])
|
|
raise AssertionError(x)
|
|
|
|
with pytest.raises(RuntimeError) as raise_info_tensor_1:
|
|
net = RaiseNet()
|
|
res = net()
|
|
print("res:", res)
|
|
assert "Currently only supports raise in constant scenarios." in str(raise_info_tensor_1.value)
|
|
|
|
|
|
@pytest.mark.level0
|
|
@pytest.mark.platform_x86_gpu_training
|
|
@pytest.mark.platform_arm_ascend_training
|
|
@pytest.mark.platform_x86_ascend_training
|
|
@pytest.mark.env_onecard
|
|
def test_raise_tensor_2():
|
|
"""
|
|
Feature: graph raise by JIT Fallback.
|
|
Description: Test raise.
|
|
Expectation: No exception.
|
|
"""
|
|
class RaiseNet(nn.Cell):
|
|
def construct(self):
|
|
raise AssertionError(Tensor(1))
|
|
|
|
with pytest.raises(RuntimeError) as raise_info_tensor_2:
|
|
net = RaiseNet()
|
|
res = net()
|
|
print("res:", res)
|
|
assert "Currently only supports raise in constant scenarios." in str(raise_info_tensor_2.value)
|
|
|
|
|
|
@pytest.mark.level0
|
|
@pytest.mark.platform_x86_gpu_training
|
|
@pytest.mark.platform_arm_ascend_training
|
|
@pytest.mark.platform_x86_ascend_training
|
|
@pytest.mark.env_onecard
|
|
def test_raise_list():
|
|
"""
|
|
Feature: graph raise by JIT Fallback.
|
|
Description: Test raise.
|
|
Expectation: No exception.
|
|
"""
|
|
class RaiseNet(nn.Cell):
|
|
def construct(self):
|
|
x = [1, 2, 3, 4]
|
|
raise ValueError(x)
|
|
|
|
with pytest.raises(ValueError) as raise_info_list:
|
|
net = RaiseNet()
|
|
res = net()
|
|
print("res:", res)
|
|
assert "[1, 2, 3, 4]" in str(raise_info_list.value)
|
|
|
|
|
|
@pytest.mark.level0
|
|
@pytest.mark.platform_x86_gpu_training
|
|
@pytest.mark.platform_arm_ascend_training
|
|
@pytest.mark.platform_x86_ascend_training
|
|
@pytest.mark.env_onecard
|
|
def test_raise_tuple():
|
|
"""
|
|
Feature: graph raise by JIT Fallback.
|
|
Description: Test raise.
|
|
Expectation: No exception.
|
|
"""
|
|
class RaiseNet(nn.Cell):
|
|
def construct(self):
|
|
x = (1, 2, 3, 4)
|
|
raise ValueError(x)
|
|
|
|
with pytest.raises(ValueError) as raise_info_tuple:
|
|
net = RaiseNet()
|
|
res = net()
|
|
print("res:", res)
|
|
assert "(1, 2, 3, 4)" in str(raise_info_tuple.value)
|
|
|
|
|
|
@pytest.mark.level0
|
|
@pytest.mark.platform_x86_gpu_training
|
|
@pytest.mark.platform_arm_ascend_training
|
|
@pytest.mark.platform_x86_ascend_training
|
|
@pytest.mark.env_onecard
|
|
def test_raise_string_tuple():
|
|
"""
|
|
Feature: graph raise by JIT Fallback.
|
|
Description: Test raise.
|
|
Expectation: No exception.
|
|
"""
|
|
class RaiseNet(nn.Cell):
|
|
def construct(self):
|
|
x = (1, 2, 3, 4)
|
|
raise ValueError("test_string_tuple", x)
|
|
|
|
with pytest.raises(ValueError) as raise_info_string_tuple:
|
|
net = RaiseNet()
|
|
res = net()
|
|
print("res:", res)
|
|
assert "'test_string_tuple', (1, 2, 3, 4)" in str(raise_info_string_tuple.value)
|
|
|
|
|
|
@pytest.mark.level0
|
|
@pytest.mark.platform_x86_gpu_training
|
|
@pytest.mark.platform_arm_ascend_training
|
|
@pytest.mark.platform_x86_ascend_training
|
|
@pytest.mark.env_onecard
|
|
def test_raise_string_list():
|
|
"""
|
|
Feature: graph raise by JIT Fallback.
|
|
Description: Test raise.
|
|
Expectation: No exception.
|
|
"""
|
|
class RaiseNet(nn.Cell):
|
|
def construct(self):
|
|
x = [1, 2, 3, 4]
|
|
raise ValueError("test_string_list", x)
|
|
|
|
with pytest.raises(ValueError) as raise_info_string_list:
|
|
net = RaiseNet()
|
|
res = net()
|
|
print("res:", res)
|
|
assert "'test_string_list', [1, 2, 3, 4]" in str(raise_info_string_list.value)
|
|
|
|
|
|
@pytest.mark.level0
|
|
@pytest.mark.platform_x86_gpu_training
|
|
@pytest.mark.platform_arm_ascend_training
|
|
@pytest.mark.platform_x86_ascend_training
|
|
@pytest.mark.env_onecard
|
|
def test_raise_float():
|
|
"""
|
|
Feature: graph raise by JIT Fallback.
|
|
Description: Test raise.
|
|
Expectation: No exception.
|
|
"""
|
|
class RaiseNet(nn.Cell):
|
|
def construct(self):
|
|
x = 1.1
|
|
raise ValueError(x)
|
|
|
|
with pytest.raises(ValueError) as raise_info_float:
|
|
net = RaiseNet()
|
|
res = net()
|
|
print("res:", res)
|
|
assert "1.100000" in str(raise_info_float.value)
|
|
|
|
|
|
@pytest.mark.level0
|
|
@pytest.mark.platform_x86_gpu_training
|
|
@pytest.mark.platform_arm_ascend_training
|
|
@pytest.mark.platform_x86_ascend_training
|
|
@pytest.mark.env_onecard
|
|
def test_raise_nested_list():
|
|
"""
|
|
Feature: graph raise by JIT Fallback.
|
|
Description: Test raise.
|
|
Expectation: No exception.
|
|
"""
|
|
class RaiseNet(nn.Cell):
|
|
def construct(self):
|
|
x = [1, 2.0]
|
|
y = [x, x]
|
|
raise ValueError(x, y)
|
|
|
|
with pytest.raises(ValueError) as raise_info_nested_list:
|
|
net = RaiseNet()
|
|
res = net()
|
|
print("res:", res)
|
|
assert "([1, 2.000000], [[1, 2.000000], [1, 2.000000]])" in str(raise_info_nested_list.value)
|
|
|
|
|
|
@pytest.mark.level0
|
|
@pytest.mark.platform_x86_gpu_training
|
|
@pytest.mark.platform_arm_ascend_training
|
|
@pytest.mark.platform_x86_ascend_training
|
|
@pytest.mark.env_onecard
|
|
def test_raise_nested_tuple():
|
|
"""
|
|
Feature: graph raise by JIT Fallback.
|
|
Description: Test raise.
|
|
Expectation: No exception.
|
|
"""
|
|
class RaiseNet(nn.Cell):
|
|
def construct(self):
|
|
x = (1, 2.0)
|
|
y = (x, x)
|
|
raise ValueError(x, y)
|
|
|
|
with pytest.raises(ValueError) as raise_info_nested_tuple:
|
|
net = RaiseNet()
|
|
res = net()
|
|
print("res:", res)
|
|
assert "((1, 2.000000), ((1, 2.000000), (1, 2.000000)))" in str(raise_info_nested_tuple.value)
|
|
|
|
|
|
@pytest.mark.skip(reason='Not support dict yet')
|
|
def test_raise_dict():
|
|
"""
|
|
Feature: graph raise by JIT Fallback.
|
|
Description: Test raise.
|
|
Expectation: No exception.
|
|
"""
|
|
class RaiseNet(nn.Cell):
|
|
def construct(self):
|
|
x = {'a': 1, 'b': 2}
|
|
raise ValueError(x)
|
|
|
|
with pytest.raises(ValueError) as raise_info_dict:
|
|
net = RaiseNet()
|
|
res = net()
|
|
print("res:", res)
|
|
assert "{'a': 1, 'b': 2}" in str(raise_info_dict.value)
|
|
|
|
|
|
@pytest.mark.skip(reason='Not support Tensor in Joined string yet')
|
|
def test_raise_joinedstr_tensor():
|
|
"""
|
|
Feature: graph raise by JIT Fallback.
|
|
Description: Test raise.
|
|
Expectation: No exception.
|
|
"""
|
|
class RaiseNet(nn.Cell):
|
|
def construct(self):
|
|
raise RuntimeError(f"The input should not be {Tensor([1])}.")
|
|
|
|
with pytest.raises(RuntimeError) as raise_info_joinedstr_tensor:
|
|
net = RaiseNet()
|
|
res = net()
|
|
print("res:", res)
|
|
assert "The input should not be [1]" in str(raise_info_joinedstr_tensor.value)
|